%0 Report %1 Bell_2007 %A Bell, Robert M. %A Koren, Yehuda %A Volinsky, Chris %D 2007 %K class:ee379, data_mining, netflix %T The BellKor solution to the Netflix Prize %X Our final solution (RMSE=0.8712) consists of blending 107 individual results. Since many of these results are close variants, we first describe the main approaches behind them. Then, we will move to describing each individual result. The core components of the solution are published in our ICDM'2007 paper 1 (or, KDD-Cup’2007 paper 2), and also in the earlier KDD'2007 paper 3. We assume that the reader is familiar with these works and our terminology there.

@techreport{Bell_2007, abstract = {Our final solution (RMSE=0.8712) consists of blending 107 individual results. Since many of these results are close variants, we first describe the main approaches behind them. Then, we will move to describing each individual result. The core components of the solution are published in our ICDM'2007 paper [1] (or, KDD-Cup’2007 paper [2]), and also in the earlier KDD'2007 paper [3]. We assume that the reader is familiar with these works and our terminology there. }, added-at = {2010-05-10T08:12:01.000+0200}, author = {Bell, Robert M. and Koren, Yehuda and Volinsky, Chris}, biburl = {https://www.bibsonomy.org/bibtex/24e6c6e6bcc4d825e9f2a6ac98bbab56a/dhruvbansal}, file = {/home/dhruv/projects/work/papers/papers/Bell_2007.pdf}, institution = {AT\&T Labs}, interhash = {85e9f452cde6ffa2003878815c7c777e}, intrahash = {4e6c6e6bcc4d825e9f2a6ac98bbab56a}, keywords = {class:ee379, data_mining, netflix}, read = {nil}, timestamp = {2010-05-10T08:12:02.000+0200}, title = {The BellKor solution to the Netflix Prize}, year = 2007 }